Building autonomous AI systems, RAG pipelines, and structured LLM workflows
from scratch in Python — no frameworks, full control.
I'm an Agentic AI Developer who builds autonomous AI systems from scratch in Python — no LangChain, no AutoGen, full control over every layer of the architecture.
My focus is on RAG pipelines, LLM orchestration, and cost-aware AI design. I also have hands-on production experience building enterprise web applications during my full-stack engineering internship — shipping 3 apps, improving workflow efficiency by 30%, and rebuilding a complete system under live client requirements.
"I don't use frameworks as a crutch — I build from scratch so I actually understand what's happening."
Production-ready applications demonstrating advanced Python, AI/ML, and system design skills
Production-grade autonomous agent built from scratch in Python — 4-layer pipeline (cache → pattern router → RAG → LLM) routing ~80% of queries with 0 LLM calls. Per-session cost ~$0.0005.
Standalone CLI finance agent supporting 8 natural-language commands — built on top of Expense Tracker's classes with zero code duplication, reducing development effort by ~60%.
Multi-user expense tracker with secure auth and JSON-based offline storage handling 1,000+ records — OOP design reduced code complexity by 40% and became the foundation for the Finance Agent.
Modular Python + Rich CLI system with 9 independent modules covering full café operations — dual admin/customer workflows, secure session management, and daily/monthly analytics.
Production-proven skills across the full Python ecosystem and modern AI/ML stack
Autonomous systems built from scratch
Modular Python CLI systems
Enterprise web applications
Entry-level AI Agent Engineer open to full-time roles and internships at AI-first startups. Let's build something real together.
Looking for entry-level AI Engineer, ML Engineer, or Python Developer roles at AI-first startups.
Get In TouchInterested in contributing to open source projects or technical partnerships.
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